Skip Opcode tests

There is a bytecode incompatibility which is why we are skipping these
until we add support for it. For details please see the following two
issues
NVIDIA#11174
NVIDIA#10203

pom.xml

@@ -689,7 +689,7 @@
             <id>scala-2.13</id>
             <properties>
                 <scala.binary.version>2.13</scala.binary.version>
-                <scala.version>2.13.13</scala.version>
+                <scala.version>2.13.14</scala.version>
             </properties>
         </profile>
         <profile>

scala2.13/pom.xml

@@ -689,7 +689,7 @@
             <id>scala-2.13</id>
             <properties>
                 <scala.binary.version>2.13</scala.binary.version>
-                <scala.version>2.13.13</scala.version>
+                <scala.version>2.13.14</scala.version>
             </properties>
         </profile>
         <profile>
@@ -802,7 +802,7 @@
         <scala.binary.version>2.13</scala.binary.version>
         <alluxio.client.version>2.8.0</alluxio.client.version>
         <scala.recompileMode>incremental</scala.recompileMode>
-        <scala.version>2.13.13</scala.version>
+        <scala.version>2.13.14</scala.version>
         <!--
         -processing
         to suppress unactionable "No processor claimed any of these annotations"

udf-compiler/src/test/scala/com/nvidia/spark/OpcodeSuite.scala → udf-compiler/src/test/scala-2.12/com/nvidia/spark/OpcodeSuite.scala

@@ -72,7 +72,7 @@ class OpcodeSuite extends AnyFunSuite {
     val myudf: Boolean => Boolean = { x => !x }
     val u = makeUdf(myudf)
     val dataset = List(true, false, true, false).toDS().repartition(1)
-    val result = dataset.withColumn("new", u('value))
+    val result = dataset.withColumn("new", u(Symbol("value")))
     val equiv = dataset.withColumn("new", not(col("value")))
     checkEquiv(result, equiv)
   }
@@ -796,16 +796,24 @@ class OpcodeSuite extends AnyFunSuite {
 
   test("IFNONNULL opcode") {
     val myudf: (String, String) => String = (a,b) => {
-      if (null==a) {
-        a
-      } else {
-        b
+//      val (empty, nonempty) = if (a.isEmpty) {
+//      println("a is empty")
+//      (a, b)
+//      }
+//      else (b, a)
+      a match {
+        case null => a
+        case _ => b
       }
     }
     val u = makeUdf(myudf)
+    println(myudf("", "z"))
     val dataset = List(("","z")).toDF("x","y")
+    dataset.show()
     val result = dataset.withColumn("new", u(col("x"),col("y")))
+    result.show()
     val ref = dataset.withColumn("new", lit("z"))
+    ref.show()
     checkEquiv(result, ref)
   }